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Paper The following article is Open access

Method of intellectualization for geospatial processes control systems

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Published under licence by IOP Publishing Ltd
, , Citation Yan Ivakin et al 2018 IOP Conf. Ser.: Mater. Sci. Eng. 450 042009 DOI 10.1088/1757-899X/450/4/042009

1757-899X/450/4/042009

Abstract

Modern means of management intellectualization or dispatching of geospatial processes do not allow to take into account quickly and with sufficient degree of adequacy the changing properties of the natural environment that affect the managerial decisions made in dispatching by complexly distributed sets of geospatial processes. At the same time dispatching is the final manifestation of a multifaceted process of managing geospatial processes. Traditionally, the task of managing objects implementing geospatial processes is solved in isolation from the current state of the natural environment of their flow, without taking into account the variability of its radio technical, physical and other characteristics. Only issues of changes in navigational and meteorological conditions, as well as issues related to ensuring spatial security, are subject into account. Considerable interest in modern conditions presents a more complex variant of the problem of intelligent dispatching of spatial processes: when the variability of the environment determines unique conditions for dispatching at each point of the coordinated geographical space. Especially such a statement of the problem is relevant in the context of the introduction of modern adaptive means of monitoring and sensing the natural environment, as subsystems for monitoring the corresponding control systems for spatial processes. The novelty of this formulation and the method of solving this version of the problem lies in the merging of data from the domain of representation of spatial processes with knowledge, data corresponding to typical models of digital data sets, integration of software mechanisms for working with information on geospatial processes and programs for working with cartographic data sets. The development of a well-founded formulation and a method for solving this variant of the problem is the essence of this article.

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10.1088/1757-899X/450/4/042009